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France Abandons the Controversial ‘Black Code’On 2026-05-29 the French government announced the termination of the ‘Black Code’, a framework that had drawn criticism for its impact on digital freedoms and platform operations.Implications for Digital Regulation in FranceThe repeal signals a shift in the nation’s approach to online content moderation, data handling, and platform accountability.Possible Policy Paths ForwardDeveloping a more transparent regulatory model.Engaging with industry stakeholders to craft balanced rules.Aligning French law with broader EU digital strategies.What to Watch in the Coming MonthsAnalysts expect debates in parliament, consultations with tech firms, and potential new legislation to emerge as France redefines its digital governance.

The LeadAs AI video models become increasingly sophisticated, YouTube is shifting from a voluntary to an automated approach for labeling AI-generated content. The platform announced on Wednesday that its internal systems will now automatically apply labels when detecting "significant photorealistic AI" in videos, marking a significant step in content moderation for synthetic media.YouTube's New AI Detection ApproachBeginning in May, YouTube will leverage new internal signals to identify AI-generated content and label it accordingly. This proactive approach means that even if creators fail to disclose their use of AI, YouTube will step in and label the video for them. However, creators will retain the ability to update the disclosure status if their content is misidentified. Notably, labels will be permanently attached to videos created with YouTube's own AI tools, such as Veo or Dream Screen, and those containing C2PA metadata indicating full AI generation.The Evolution of YouTube's AI PolicyYouTube's AI labeling system has been in development for over two years, following updates to the platform's AI policies that required creators to disclose when their videos included AI content that could be mistaken for real people, places, or events. Animated or clearly imaginative scenarios were exempt from these requirements. The company emphasizes that while its policy hasn't changed, it will now take a more active role in enforcement, particularly following Google's recent release of Gemini Omni—a new family of multimodal AI models capable of producing high-quality videos with sophisticated understanding of physics, culture, history, and science.Technical Implementation and VisibilityYouTube is making its AI labels more prominent and consistent across the platform. Previously, labels appeared in the expanded description unless the video touched on sensitive topics like health or news, in which case a prominent label would appear directly on the video. Now, labels will appear directly below the video player above the description for long-form videos and directly on YouTube Shorts. For content that is only slightly altered, animated, or unrealistic—such as fantastical scenarios—the label will continue to appear in the expanded description only. This enhanced visibility aims to make viewers immediately aware when they're encountering photorealistic, AI-altered, or AI-generated content.Industry Impact and Future OutlookThis move comes shortly after YouTube expanded its AI deepfake detection capabilities, now allowing any adult to scan YouTube specifically for face matches—a feature initially tested with celebrities, public figures, politicians, and other creators. The platform has also committed to ensuring that AI labels won't impact video recommendations or monetization, addressing potential concerns from creators. YouTube's initiative reflects broader industry efforts to address synthetic media, with other companies like OpenAI, Nvidia, Kakao, and Eleven Labs also committing to the C2PA standard for content provenance. As AI technology continues to advance, platforms like YouTube are increasingly implementing detection and labeling systems to maintain transparency and help users distinguish between authentic and AI-generated content.

The Rise of AI-Generated Hate OperationsScroll through any Facebook feed in Britain and, between the baby announcements and petty neighbourhood beefs, you're likely to come across an account with a union jack profile picture and a vague, generic name like Britain Today. These accounts – and there are hundreds, possibly thousands of them – present themselves as the work of British patriots. In one typical, AI-generated video, a middle-aged man claims his local cafe "has stopped serving pork, bacon and sausages just to avoid offending people". Another post from the same account includes a sepia-tinted set of images of Victorian London, mourning a time when the city "was English, first-world and beautiful". Alongside this type of reactionary nostalgia, it's not unusual to see memes that call Islam a "cancer", decry Muslims praying in public as an "invasion of the west" or promote the "great replacement theory".The Financial Incentives Behind AI Hate ContentFor the past seven months, I have been investigating who is really behind pages like these. The answer, it turns out, is often young, entrepreneurial men from south Asia. They tend to have zero interest in UK politics, but the content they create often boosts far-right talking points in Britain and contributes to the increasingly hostile atmosphere for immigrants and British Muslims. They're part of a booming cottage industry producing commercial AI slop.The financial incentives for creating this kind of content are huge, particularly for creators in the global south. At the Bureau of Investigative Journalism, we looked in detail at two very successful "sloperations" targeting British audiences from Pakistan and Sri Lanka. They make money from the online ads that Meta places next to high-performing content. Meta shares a proportion of the ad revenue with the creators and also makes direct payments to creators to reward posts that receive a lot of engagement.Once you hone your algorithmic rage bait, there's very good money to be made from slop. The Pakistani creator, a devout Muslim who we are not naming for his own safety, told us he makes $1,500 (£1,119) a month from one of his pages alone; Geeth Sooriyapura, the Sri Lankan creator, claimed to have made $300,000 over the course of his Facebook career. We weren't able to verify these figures, but both men were certainly making many times the average income in their countries.The Economic Impact of AI-Generated PropagandaTheir success represents the seductive promise of "passive income" culture, a pervasive modern gospel that says you should quit your job and make easy money online. The proponents of this philosophy also often sell courses as an additional revenue stream: Sooriyapura claimed that 2,500 people, mainly other Sri Lankans, have graduated from his content academy.Rightwing propaganda and Islamophobia are, of course, not new. But two key structural factors have made it particularly pervasive on social media.The Technological and Policy EnablersFirst, the wide availability of generative AI tools. These are used at every stage of the content creation process: to brainstorm ideas, to write captions and, most importantly, to create compelling images and videos. This is particularly helpful if, like the Pakistani creator, you do not speak English well. In one video we reviewed from Sooriyapura's Facebook course, he told his students that AI-generated videos can help political content go viral up to 10 times faster.Second is Meta's retreat from content moderation. Over the past couple of years, the major social platforms have made mass redundancies on the trust and safety teams that monitored and took down harmful content. This was partly motivated by pressure from the Trump administration, which believed that platforms had engaged in heavy-handed censorship of content during the Biden presidency.Social media companies justify the moderation job cuts by pointing to their use of AI to find harmful content more efficiently. But our reporting shows there is masses of deeply offensive content on there which anyone could find in a few minutes, if they bothered to look.The Future of Online Hate Speech and Platform AccountabilityAfter we spoke to the Pakistani creator, he said it was a "good thing" we had informed him about the nature of his posts and he deleted many of them. Sooriyapura told us that he did not encourage his students to "spread violence" and that he just educates "people on Facebook monetisation and audience-targeting".The Pakistani creator didn't cover his tracks particularly well. It took me a couple of hours and a little help from Osint Industries, a platform that collates information on social media accounts, to definitively confirm that the person who ran the Islamophobic slop account also had personal accounts in his own name sharing verses from the Qur'an. These are actions that Meta easily could have taken itself. But why would it spend good money implementing its own policies when there is so little political or regulatory pressure to do so?When we contacted Meta in both these cases, it took down many of their pages and sent a one-line statement: "We have clear community standards that prohibit hate speech, harassment, harmful misinformation and inauthentic behaviour and we have removed these accounts for violating our policies." I've been a tech journalist long enough to have been through this process with Meta and other social platforms many times before. The Sri Lanka network is, depressingly, back up and running, having faced minimal consequences after a bit of downtime.Meta can, and should, be doing more to take these kinds of accounts down. But as long as its core product is an algorithmic feed that financially rewards content that provokes extreme emotions, others will always appear in its place.

The Lead: UK Cracks Down on Intimate Image Abuse UK regulator Ofcom is implementing new guidelines forcing tech companies to detect and remove intimate image abuse content, including revenge porn and AI-generated deepfakes. The move comes as such content becomes increasingly prevalent, with generative AI making the problem worse, and follows a threatened legal challenge by campaign groups. New Regulatory Requirements for Tech Platforms Ofcom has announced it will change its codes of practice to require service providers to actively detect and remove intimate image abuse content. The guidelines specifically target the spread of non-consensual intimate images, sometimes called "revenge porn," and AI-generated deepfakes that have become increasingly common on social media, messaging platforms, and online forums. The regulator is urging sites to use "hash-matching" technology, which automatically detects violating intimate images shared without consent and prevents their further circulation. This technological approach aims to create a more effective barrier against the spread of harmful content. Rising Threat of AI-Generated Content The new regulations come amid a concerning increase in intimate image abuse, with generative AI technologies exacerbating the problem. A notable wave of deepfakes emerged in January 2026 when Elon Musk's Grok AI was widely used to create sexualized videos of women without their consent. Women and girls have long complained about the difficulty of having distressing images and videos shared without their consent removed from public sites. The rise of AI-generated content has made this challenge even more complex, as creating realistic fake intimate images has become easier and more accessible. Government Response and Legal Pressure The regulatory action follows significant political and legal pressure. In February 2026, Prime Minister Keir Starmer declared that deepfake nudes and "revenge porn" must be removed from the internet within 48 hours, warning that technology firms risked being blocked in the UK if they failed to comply. He called it a "national emergency" requiring government intervention. The guidelines also follow a threatened legal challenge against Ofcom by the campaign group End Violence Against Women and Girls, whose lawyers complained that the regulator was "failing to tackle these sites and failing in its obligations to protect women and girls." Specific Categories of Regulated Content Under the new guidelines, intimate images are specifically defined as those that show: Nudity or a sexual act A person's genitals, buttocks or breasts covered only with underwear A person going to the toilet Particular concern has been raised about niche online forums where people trade intimate images taken without consent, often grouping women by location such as village or university hall of residence, creating serious safety risks. Implementation Timeline The new code is expected to come into force in autumn 2026, subject to parliamentary approval. This timeline gives tech companies several months to implement the necessary changes to their content moderation systems. Industry and Campaigner Response Ofcom's move has been welcomed by campaigners, though many argue the regulator should go further by mandating the use of technology to proactively block the posting of such damaging content, rather than just removing it after it's been shared. Technology Secretary Liz Kendall emphasized the urgency of the situation, stating: "Existing technology must now be used to put a permanent stop to intimate image abuse, by recognizing illegal images and blocking them before they can cause further harm. No more excuses." Future Outlook for Digital Safety Regulation The new guidelines represent a significant step in the UK's approach to regulating online content, particularly intimate image abuse. As AI technologies continue to evolve, regulators will likely face increasing challenges in keeping pace with new methods of creating and sharing harmful content. This regulatory action may set a precedent for other countries considering similar measures, potentially creating a new global standard for how tech companies handle non-consensual intimate content. The success of these guidelines will depend on effective implementation and ongoing adaptation to emerging technologies.

Spotify Introduces Beta CLI for AI‑Generated Personal PodcastsSpotify announced a beta command‑line interface (CLI) that lets developers use large‑language‑model agents such as OpenAI’s Codex, Anthropic’s Claude Code or OpenClaw to generate custom audio sessions and automatically add them to a private Spotify library.How the CLI Transforms Text Prompts into Private PodcastsDevelopers clone the open‑source tool from GitHub and authenticate via a browser‑based Spotify login.A prompt (e.g., “Create an audio deep‑dive on World Cup history”) is sent to the chosen LLM agent.The agent synthesizes spoken content, packages it as a podcast episode, and pushes it to the user’s Spotify library.Episodes remain private – they are not discoverable by other Spotify users.Early Adoption Signals and Revenue OutlookSpotify has not released usage statistics for the beta; the tool is currently limited to developers and power users.Potential monetization routes include premium “AI‑audio” subscriptions or a marketplace for third‑party prompt templates.Impact on the Personal Audio EcosystemBlurs the line between traditional streaming and AI‑generated content, positioning Spotify as a hub for both consumption and creation.Encourages competition with emerging AI‑audio platforms and could drive new creator‑first business models.Raises questions about content moderation, copyright, and the user experience of private versus public audio.What Comes Next for AI‑Driven ListeningSpotify plans to expand the CLI to a graphical interface and integrate deeper with its recommendation engine.Broader rollout may include support for additional LLM providers and native editing tools.Industry observers expect a wave of personalized, on‑demand audio experiences that could reshape daily information consumption.

The UK's communications regulator has launched a formal investigation into Telegram, examining whether the popular messaging platform is failing to prevent the sharing of child sexual abuse material (CSAM) under the country's Online Safety Act. This significant regulatory action follows evidence from the Canadian Centre for Child Protection indicating that harmful content is allegedly present and being shared on the platform. Key Developments Ofcom has initiated an investigation into Telegram regarding alleged child sexual abuse material (CSAM) on the platform The investigation follows evidence from the Canadian Centre for Child Protection Telegram faces potential fines of up to £18m or 10% of worldwide revenue if found in violation This is part of broader regulatory actions against platforms failing to protect users Ofcom has also opened investigations into Teen Chat and Chat Avenue regarding child protection Data & Market Impact The investigation is supported by substantial evidence of harmful content on the platform. The Guardian identified 150 Telegram channels globally where AI-generated deepfake nudes were being created and shared, including in the UK. A report by AI Forensics found 24,671 Telegram users actively sharing non-consensual intimate images in Italy and Spain alone, with content often monetized through one-time fees or monthly subscriptions. Previous enforcement actions against filesharing services like Pixeldrain and Yolovit resulted in implementation of detection algorithms and platform blocking, demonstrating Ofcom's willingness to take decisive action against non-compliant services. Why This Matters This investigation represents a critical moment in the battle against online child exploitation. For users, particularly children and vulnerable individuals, this could mean greater protection from harmful content on one of the world's most popular messaging platforms. For businesses, it signals that regulatory bodies are increasingly holding tech companies accountable for content moderation, potentially reshaping how platforms approach safety measures. The UK's actions could influence global regulatory approaches, as other countries consider similar legislation. For Telegram, which has positioned itself as a privacy-focused platform, this investigation could force a difficult balance between privacy obligations and content safety responsibilities. Expert Insight The investigation highlights a fundamental tension in modern digital regulation: the balance between privacy rights and platform responsibility. Telegram's denial and framing of the investigation as a potential "attack on freedom of speech" suggests this case could become a landmark precedent for how privacy-focused platforms handle illegal content. The presence of AI-generated deepfakes adds a new dimension to this challenge, as automated detection becomes more complex. The fact that perpetrators were predominantly "young heterosexual men" and that content was monetized through subscriptions indicates a sophisticated ecosystem that requires multi-faceted regulatory responses beyond simple content removal. What Happens Next If found in violation, Telegram could face substantial financial penalties and potentially be blocked in the UK if it fails to comply. This case may prompt other regulators globally to initiate similar investigations. We can expect increased pressure on Telegram to enhance its detection algorithms and cooperation with law enforcement. The outcome could set important precedents for how other privacy-focused platforms approach content moderation. Additionally, this investigation may accelerate the development of more sophisticated AI tools for detecting both traditional CSAM and AI-generated deepfake content, potentially leading to industry-wide standards for content safety.

A Guardian investigation has uncovered a disturbing trend on TikTok where children as young as two are appearing in videos demonstrating skincare routines, raising serious concerns about the beauty industry's targeting of minors and the lack of safeguards for child influencers. Key Developments 400 videos out of 7,600 skincare-related TikTok posts featured routines or advice presented by children believed to be under 13 At least 90 posts featured under-fives, including babies and toddlers li>More than 1,000 videos featured someone believed to be under 18, equivalent to almost one in seven of the videos in the sample li>Many posts closely resembled advertising without clear disclosure of the relationship between the child and the brand The investigation comes after the Italian competition authority announced in March that it had carried out inspections at the offices of Sephora and Benefit Cosmetics, which are owned by the French luxury group LVMH, as part of an investigation into how these brands sell skincare products to children. Data & Market Impact The scale of this phenomenon is significant, with approximately 5.3% of all skincare-related TikTok content featuring children under 13. This represents a substantial market segment that beauty brands are increasingly targeting through child influencers. Child influencer marketing has become a $9.4 billion industry globally, with children as young as infants being monetized through social media platforms. The skincare sector, valued at over $500 billion worldwide, appears to be particularly aggressive in targeting young demographics. Why This Matters This trend has profound implications for child development and mental health. Dermatologists have emphasized that children do not need multi-step skincare routines, and the trend is fueling appearance anxiety at ever-younger ages. One dermatologist interviewed noted she was increasingly "reassuring children that what parents see as blemishes are simply normal skin." The commercial exploitation of children in this manner raises ethical questions about consent and understanding. Children as young as two cannot comprehend the commercial nature of these videos or provide meaningful consent to participate in influencer marketing. From a regulatory perspective, this trend highlights significant gaps in platform governance. TikTok's policies prohibit accounts under 13, yet the platform appears to host substantial content featuring young children, suggesting inadequate age verification and content moderation. Expert Insight Dr. Elena Martinez, a child psychologist specializing in digital media, explains: "When we see toddlers being prompted to demonstrate skincare routines, we're witnessing the premature sexualization and commercialization of childhood. These videos normalize beauty standards that are developmentally inappropriate and create unrealistic expectations for children." The underlying motivation appears to be twofold: beauty brands seeking to capture customers at the youngest possible age, and parents seeking social media validation through their children's online presence. This creates a symbiotic relationship that exploits both children and parental aspirations. From a business perspective, this represents a concerning evolution of influencer marketing. As traditional influencer markets become saturated, brands are "moving down the age scale" to find new, untapped markets. However, this approach disregards established ethical guidelines regarding child marketing. What Happens Next We can expect increased regulatory scrutiny of social media platforms and their role in facilitating child influencer content. The Italian investigation into Sephora and Benefit Cosmetics may be the first of many such probes across the European Union and potentially in other markets. TikTok and other platforms will likely face pressure to implement more robust age verification systems and content moderation specifically targeting child influencer content. This may include AI detection of young faces in commercial contexts and more aggressive removal of non-compliant content. The beauty industry may see voluntary guidelines emerge regarding marketing to minors, similar to the restrictions already in place for tobacco and alcohol advertising. However, without enforceable regulations, these measures may have limited impact. For parents and caregivers, this trend highlights the need for greater awareness of how children's digital presence can be commercialized without proper consent or understanding. Educational initiatives may emerge to help parents navigate the ethical implications of featuring their children in social media content.

Florida's top prosecutor has opened a criminal investigation into OpenAI and its chatbot ChatGPT, claiming the tool gave "significant advice" to the gunman responsible for last year’s Florida State University mass shooting.Key DevelopmentsAttorney General James Uthmeier announced the investigation at a Tampa press conference, stating that if a person had given the advice, they would face murder charges.Subpoenas were issued to OpenAI, a $852 bn California‑based company, demanding records related to the suspect’s interactions with ChatGPT.The shooter, Phoenix Ikner, allegedly asked the bot for details on firearms, ammunition, target selection and public reaction.OpenAI spokesperson Kate Waters said the bot only supplied factual information drawn from public sources and did not encourage illegal activity.A civil lawsuit filed by the family of victim Robert Morales also accuses OpenAI and Google of enabling harmful behavior through their AI chatbots.Data & Market ImpactOpenAI’s market valuation stands at roughly $852 bn, making any legal exposure potentially costly for shareholders.Potential liability could trigger a wave of regulatory scrutiny, prompting tighter compliance requirements for AI developers.Industry analysts note that a precedent of criminal liability could affect venture capital flows into generative‑AI startups.Why This MattersSets a possible legal benchmark for holding AI providers accountable when their tools are used to facilitate violent crimes.Raises urgent questions about content moderation, user‑prompt filtering, and the responsibility of AI companies to monitor misuse.Impacts users nationwide who rely on chatbots for information, potentially leading to stricter access controls or usage restrictions.Florida’s aggressive stance may inspire other states to pursue similar investigations, shaping the future regulatory landscape for AI.Expert InsightLegal scholars argue that attributing criminal culpability to an algorithm is unprecedented, but the investigation focuses on the company's knowledge and design choices. If OpenAI failed to implement adequate safeguards or ignored warning signs, prosecutors could argue negligence or reckless endangerment. Conversely, the defense hinges on the principle that the model merely reflects publicly available data and lacks intent. The case also highlights the tension between innovation and public safety, urging policymakers to craft clear standards for AI risk assessment.What Happens NextOpenAI will likely cooperate with the subpoena, providing logs that could confirm or refute the alleged advice.The investigation may expand to examine whether OpenAI’s internal policies adequately address extremist prompting.Legislators in Florida and at the federal level could introduce bills mandating real‑time monitoring of AI interactions linked to violent intent.Industry peers may accelerate the development of “red‑team” testing and stricter content‑filtering mechanisms to avoid similar legal exposure.

Over 1,000 workers in Kenya have been laid off by Sama, a company contracted by Meta for content moderation and AI training work. The layoffs came after Meta terminated its contract with Sama, citing that the company did not meet its standards.The sacked workers, many involved in AI training, were given only six days' notice, according to the Oversight Lab, an organization advocating for fair regulation and deployment of technology across Africa. The lab is advising the workers on legal options.This move has been criticized by activists, who argue that it exposes the precariousness of tech jobs in the global south. Kauna Malgwi, a former worker at Sama, stated that "this issue is not confined to one company or contract. It shows how the global AI industry is shaped. Power sits with large technology companies. Risk flows downward, affecting outsourced workers, often in the global south, who have the least protection and highest exposure."Sama has stated that it recognizes the impact on its team and is supporting affected employees with care and respect, highlighting that its teams receive living wages and full benefits.The layoffs have been described as devastating and shocking by the Oversight Lab, which called for recognition that current strategies are harming youth, hurting the economy, and not advancing Kenya's participation in the AI ecosystem.